DEVELOPMENT... OpenML
Run
120616

Run 120616

Task 9 (Supervised Classification) autos Uploaded 10-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_LMT(2)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_LMT(2)_I40
weka.AdaBoostM1_LMT(2)_P100
weka.AdaBoostM1_LMT(2)_S1
weka.AdaBoostM1_LMT(2)_Wweka.classifiers.trees.LMT
weka.LMT(2)_I-1
weka.LMT(2)_M15
weka.LMT(2)_W0.0

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

21 Evaluation measures

Area under ROC curve
0.8867
Per class
Build CPU time
55.7023
Build memory
70154649.4049
F measure
0.809
Per class
Kappa
0.7509
KB relative information score
155.4598
Mean absolute error
0.0547
Mean prior absolute error
0.2209
Number of instances
205
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8127
Per class
Predictive accuracy
0.8098
Prior entropy
2.3268
Recall
0.8098
Per class
Relative absolute error
0.2477
Root mean prior squared error
0.3318
Root mean squared error
0.2306
Root relative squared error
0.6951
SciMark benchmark
889.6909